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  • Supervised Learning

Supervised Learning Courses

Supervised learning courses can help you learn regression analysis, classification techniques, and model evaluation methods. You can build skills in feature selection, hyperparameter tuning, and understanding bias-variance tradeoff. Many courses introduce tools like Python libraries such as scikit-learn and TensorFlow, that support implementing algorithms and analyzing data.


Popular Supervised Learning Courses and Certifications


  • B

    Board Infinity

    Learning MEAN Stack by Building Real world Application

    Skills you'll gain: Angular, Node.JS, Full-Stack Web Development, HTML and CSS, JavaScript Frameworks, User Interface (UI), Application Deployment, Application Frameworks, Back-End Web Development, Front-End Web Development, Hypertext Markup Language (HTML), MongoDB, User Interface (UI) Design, Web Design, Middleware, Bootstrap (Front-End Framework), jQuery, Javascript, Databases, Cascading Style Sheets (CSS)

    4.2
    Rating, 4.2 out of 5 stars
    ·
    65 reviews

    Intermediate · Specialization · 1 - 3 Months

  • P

    Packt

    Design for Learning: UX in Online Teaching

    Skills you'll gain: Video Production, Instructional Design, Digital pedagogy, Virtual Environment, User Interface and User Experience (UI/UX) Design, Teaching, Education Software and Technology, User Centered Design, Student Engagement, Learning Styles, Technical Writing, Web Content Accessibility Guidelines, UI/UX Research, Online Advertising, Survey Creation

    Beginner · Course · 1 - 3 Months

  • N

    New York University

    Overview of Advanced Methods of Reinforcement Learning in Finance

    Skills you'll gain: Reinforcement Learning, Financial Trading, Financial Market, Derivatives, Market Liquidity, Finance, Market Dynamics, Risking, Financial Modeling, Market Data, Credit Risk, Machine Learning

    3.8
    Rating, 3.8 out of 5 stars
    ·
    85 reviews

    Advanced · Course · 1 - 4 Weeks

  • U

    University of Colorado Boulder

    Machine Learning: Theory and Hands-on Practice with Python

    Skills you'll gain: Recurrent Neural Networks (RNNs), Vision Transformer (ViT), PyTorch (Machine Learning Library), Keras (Neural Network Library), Scikit Learn (Machine Learning Library), Large Language Modeling, Natural Language Processing, Embeddings, Network Model, Network Architecture, Algorithms

    4.3
    Rating, 4.3 out of 5 stars
    ·
    18 reviews

    Intermediate · Specialization · 3 - 6 Months

  • P

    Packt

    Fundamentals of AI, Machine Learning, and Python Programming

    Skills you'll gain: NumPy, PyTorch (Machine Learning Library), Predictive Modeling, Matplotlib, Artificial Intelligence, Development Environment, Pandas (Python Package), Deep Learning, Classification And Regression Tree (CART), Python Programming, Artificial Neural Networks, Data Manipulation, Tensorflow, Regression Analysis, Machine Learning, Computer Programming, Model Evaluation

    Beginner · Course · 3 - 6 Months

  • U

    University of Houston

    Powerful Tools for Teaching and Learning: Web 2.0 Tools

    Skills you'll gain: Collaborative Software, Digital pedagogy, Education Software and Technology, Collaboration, Learning Management Systems, Teaching, digital literacy, Communication, Technology Strategies, Web Applications, Communication Systems, Digital Communications

    4.5
    Rating, 4.5 out of 5 stars
    ·
    189 reviews

    Beginner · Course · 1 - 3 Months

  • H

    H2O.ai

    Data Science and Machine Learning H2O.ai Platforms

    Skills you'll gain: Model Deployment, Generative AI, Data Wrangling, Project Planning, Responsible AI, Data Preprocessing, Data Governance, Exploratory Data Analysis, Applied Machine Learning, Large Language Modeling, AI Enablement, MLOps (Machine Learning Operations), Data Science, Prompt Engineering, Model Evaluation, Feature Engineering

    Intermediate · Course · 1 - 3 Months

  • G

    Google Cloud

    Machine Learning with TensorFlow on Google Cloud en Français

    Skills you'll gain: Feature Engineering, Responsible AI, Tensorflow, Keras (Neural Network Library), Data Preprocessing, Google Cloud Platform, Data Quality, Applied Machine Learning, Data Cleansing, Machine Learning, Logistic Regression, Data Pipelines, Data Strategy, Supervised Learning, Model Evaluation, Model Deployment, Machine Learning Algorithms, Performance Tuning, MLOps (Machine Learning Operations), Artificial Neural Networks

    4.2
    Rating, 4.2 out of 5 stars
    ·
    30 reviews

    Intermediate · Specialization · 3 - 6 Months

  • U

    Universidades Anáhuac

    Deep Learning: Del Concepto a la Práctica

    Skills you'll gain: Artificial Neural Networks, Keras (Neural Network Library), Deep Learning, Applied Machine Learning, Tensorflow, Convolutional Neural Networks, Recurrent Neural Networks (RNNs), Image Analysis, Computer Vision, Model Evaluation, Python Programming

    Beginner · Course · 1 - 4 Weeks

  • P

    Packt

    Deep Learning - Computer Vision for Beginners Using PyTorch

    Skills you'll gain: PyTorch (Machine Learning Library), Computer Vision, NumPy, Matplotlib, Convolutional Neural Networks, Deep Learning, Pandas (Python Package), Image Analysis, Python Programming, Artificial Neural Networks, Data Manipulation

    Intermediate · Course · 1 - 3 Months

  • I

    IBM

    Machine Learning Rapid Prototyping with IBM Watson Studio

    Skills you'll gain: Feature Engineering, Model Deployment, Data Preprocessing, Model Evaluation, Data Transformation, Applied Machine Learning, MLOps (Machine Learning Operations), Predictive Modeling, Exploratory Data Analysis, Automation, Machine Learning Methods, Machine Learning, Scikit Learn (Machine Learning Library), Artificial Intelligence and Machine Learning (AI/ML), Data Science, IBM Cloud, Python Programming, Performance Tuning

    4.3
    Rating, 4.3 out of 5 stars
    ·
    16 reviews

    Intermediate · Course · 1 - 4 Weeks

  • E

    EDUCBA

    Machine Learning Projects in R with Caret

    Skills you'll gain: Data Preprocessing, Applied Machine Learning, Unsupervised Learning, Correlation Analysis, Data Cleansing, R Programming, Data Quality, Machine Learning, Machine Learning Algorithms, Data Manipulation, Data Mining, Exploratory Data Analysis, Data Integrity

    Mixed · Course · 1 - 4 Weeks

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1…424344…594

In summary, here are 10 of our most popular supervised learning courses

  • Learning MEAN Stack by Building Real world Application: Board Infinity
  • Design for Learning: UX in Online Teaching: Packt
  • Overview of Advanced Methods of Reinforcement Learning in Finance: New York University
  • Machine Learning: Theory and Hands-on Practice with Python: University of Colorado Boulder
  • Fundamentals of AI, Machine Learning, and Python Programming: Packt
  • Powerful Tools for Teaching and Learning: Web 2.0 Tools: University of Houston
  • Data Science and Machine Learning H2O.ai Platforms: H2O.ai
  • Machine Learning with TensorFlow on Google Cloud en Français: Google Cloud
  • Deep Learning: Del Concepto a la Práctica: Universidades Anáhuac
  • Deep Learning - Computer Vision for Beginners Using PyTorch: Packt

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